Foundations of learning classifier systems
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computati...
Gardado en:
| Autor Principal: | |
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| Outros autores: | , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2005. |
| Series: | Studies in Fuzziness and Soft Computing
183 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Foundations of learning classifier systems, Larry Bull, Tim Kovacs, Berlin, Springer-Verlag, 2005, 1 vol. (VI-336 p.), Studies in fuzziness and soft computing, 3-540-25073-5 • Foundations of Learning Classifier Systems, Texte imprimé, 9783540808282 • Foundations of Learning Classifier Systems, Texte imprimé, 9783642064135 • Foundations of learning classifier systems, Larry Bull, Tim Kovacs, Berlin, Springer-Verlag, 2005, 1 vol. (VI-336 p.), Studies in fuzziness and soft computing, 3-540-25073-5 |
| Résumé: | This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland |
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| descrición da copia: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540323969 |
| ISSN: | 1860-0808 |
| Acceso: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |